Mingjing Tang

Molecular Biology · 2021

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 23 citations into it

Whom Mingjing Tang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Albert-László Barabási (in Molecular Biology)

Papers from Mingjing Tang's perspective

Ordered by how strongly the researchers Mingjing Tang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. The Graph Neural Network Model
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Graph Neural Networks and Their Current Applications in Bioinformatics (2021) — 459 citations